The Large Scale Text Analysis project in Boeing Phantom Works is
looking for a summer intern to help perform the following tasks in
text mining applications.
* Building web-based demonstration GUIs for text mining applications
* Building text anlaysis tools using a Java-based part-of-speech tagger
The ideal candidate should have at least a BS/BA degree in a related
field, and is currently enrolled in a graduate program with special
interest in text mining, information retrieval or text analysis. The
candidate should be proficient in C/C++, Java, UNIX (Solaris
preferred), Windows NT, `Perl/CGI and Javascript, and be familiar with
information retrieval, text mining, text analysis, basic parsing, and
beginning linear algebra. Experience in web-based GUI building and
familiarity with basic linguistic concepts (e.g. parts of speech, noun
phrases), knowledge-based systems, and statistics would be a big plus.
The Large Scale Text Analysis project has invented a unique technology
called TRUST (Text Representation Using Subspace Transformation) which
combines linear algebra, statistics, natural language processing, and
high performance computing to solve a wide range of text mining
problems. We are looking for a candidate who would like to develop
hands-on experience solving large scale text mining problems in
industry, and possibly contribute to new development in the
technology.
Project manager: Anne Kao anne.kaoboeing.com
Group manager: Jim Hoard james.e.hoardboeing.com